# Generated by utils.py
dataset_name: tn
doc_to_text: "Named entities refers to names of location, organisation and personal\
  \ name. \n For example, 'David is an employee of Amazon and he is visiting New York\
  \ next week to see Esther' will be \nPERSON: David $ ORGANIZATION: Amazon $ LOCATION:\
  \ New York $ PERSON: Esther \n\nEnsure the output strictly follows the format: label:\
  \ entity $ label: entity, with each unique entity on a separate label line, avoiding\
  \ grouped entities (e.g., avoid LOC: entity, entity) or irrelevant entries like\
  \ none. \n\nText: {{text}} \nReturn only the output"
include: masakhaner
task: masakhaner_tn_prompt_1
